3 posts tagged with "guide"

AI coding is evolving fast. With Claude Code support for custom commands, it's time to upgrade your workflows. One of the most powerful advanced agentic coding techniques is parallel development with Git worktrees—running multiple Claude agents simultaneously on different branches of your codebase using custom slash commands. Our adoption of this technique is inspired by the benchy repository from this video.

Let's break it down step-by-step so you can replicate this advanced workflow in your own repo using custom Claude Code commands.

MCPs work like magic. Internally we use them relentlessly inside Cursor, for Linear issues in particular. We decided to ship an MCP server with Agent Interviews mainly because it made sense for us to have it on our own product for testing, before we even provided it to our customers. We built it quickly and made choices-of-least-resistance so there may be better ways to do everything. This is why we wanted to share our experience, would love to hear your feedback.

So the headline is we decided to implement an MCP server, Model Context Protocol (MCP), in our Django application, built on top of our existing API endpoints, and get it working with Cursor and Claude 3.7.

Ready to harness the power of AI for gathering feedback or insights? Agent Interviews makes it easy to create and deploy AI agents that conduct interviews and generate insights in real time. This guide walks you through the essential steps to get your first interviewer up and running quickly.

Goal: Launch a basic AI interviewer focused on your topics and insights, and start collecting feedback instantly.